Book Image

Python Geospatial Development - Second Edition - Second Edition

By : Erik Westra
Book Image

Python Geospatial Development - Second Edition - Second Edition

By: Erik Westra

Overview of this book

Geospatial development links your data to places on the Earth's surface. Writing geospatial programs involves tasks such as grouping data by location, storing and analyzing large amounts of spatial information, performing complex geospatial calculations, and drawing colorful interactive maps. In order to do this well, you'll need appropriate tools and techniques, as well as a thorough understanding of geospatial concepts such as map projections, datums and coordinate systems. Python Geospatial Development - Second Edition teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. Python Geospatial Development teaches you everything you need to know about writing geospatial applications using Python. No prior knowledge of geospatial concepts, tools or techniques is required. The book guides you through the process of installing and using various toolkits, obtaining geospatial data for use in your programs, and building complete and sophisticated geospatial applications in Python. This book provides an overview of the major geospatial concepts, data sources and toolkits. It teaches you how to store and access spatial data using Python, how to perform a range of spatial calculations, and how to store spatial data in a database. Because maps are such an important aspect of geospatial programming, the book teaches you how to build your own “slippy map” interface within a web application, and finishes with the detailed construction of a geospatial data editor using Geodjango. Whether you want to write quick utilities to solve spatial problems, or develop sophisticated web applications based around maps and geospatial data, this book includes everything you need to know.
Table of Contents (18 chapters)
Python Geospatial Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we have taken an in-depth look at the concept of storing spatial data in a database, and examined three of the principal open source spatial databases. We have seen the following:

  • Spatial databases differ from ordinary relational databases as they directly support spatial data types, spatial queries, and spatial joins

  • Spatial indexes generally make use of R-Tree data structures to represent nested hierarchies of bounding boxes

  • Spatial indexes can be used to quickly find geometries based on their position in space, as well as for performing spatial comparisons between geometries based on their bounding boxes

  • MySQL, the world's most popular open source database, has spatial capabilities built in, though with some limitations

  • PostGIS is considered to be the powerhouse of spatial databases, built on top of the PostgreSQL open source database engine

  • SpatiaLite is an extension to the SQLite serverless database, with a large number of spatial capabilities built in

  • Each database...